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Manufacture Engineering, Quality and Production System II
Selected, peer reviewed papers from the 2013 2nd International Conference on Manufacture Engineering, Quality and Production System (ICMEQP 2013), February 27-28, 2013, Hong Kong, China
Systems Biology
This open-access textbook is an excellent introduction to systems biology, which has developed rapidly in recent years. It discusses the processes in living organisms in an integrated way, enabling the reader to understand the fundamental principles and cause-effect relationships in biology and biochemistry. The authors have chosen an original but at the same time clear way of presenting the topics, repeatedly drawing comparisons and models from the macroscopic world and making the reader aware of the unity of the laws of physics, chemistry and biology. The fully updated 2nd edition also contains information that has only become available as a result of the increase in knowledge in recent ye...
Identification of Ligand Binding Site and Protein-Protein Interaction Area
This volume presents a review of the latest numerical techniques used to identify ligand binding and protein complexation sites. It should be noted that there are many other theoretical studies devoted to predicting the activity of specific proteins and that useful protein data can be found in numerous databases. The aim of advanced computational techniques is to identify the active sites in specific proteins and moreover to suggest a generalized mechanism by which such protein-ligand (or protein-protein) interactions can be effected. Developing such tools is not an easy task – it requires extensive expertise in the area of molecular biology as well as a firm grasp of numerical modeling methods. Thus, it is often viewed as a prime candidate for interdisciplinary research.
Statistics by Prescription
This manual presents the guide-like introduction to statistical techniques particulary oriented on medicine. The exercises present in the book make possible the self-education based on the international program SAS.
From Globular Proteins to Amyloids
From Globular Proteins to Amyloids proposes a model and mechanism for explaining protein misfolding. Concepts presented are based on a model originally intended to show how proteins attain their native conformations. This model is quantitative in nature and founded upon arguments derived from information theory. It facilitates prediction and simulation of the amyloid fibrillation process, also identifying the progressive changes that occur in native proteins that lead to the emergence of amyloid aggregations.
Self-Assembled Molecules – New Kind of Protein Ligands
The subject of this book relates to protein ligands with particular structural and complexation properties. They are composed of self-assembled molecules, capable of penetrating as a unit into proteins outside the binding site. The ribbon-like supramolecular system only permits the penetration of self-assembled molecules into the protein-body and formation of stable complexes. Supramolecular Congo red and similar compounds fit these requirements. Destabilized protein fragments enable the penetration of such ligands, with susceptibility to supramolecular ligand binding often associated with protein function. As a result, complexation modifies their functional effects. The activity of enzymes is inhibited by arresting them in the complexed state, but “naturally irreversible” complexation as in the case of immune complexation, is enhanced instead. This property offers many attractive possibilities of using supramolecular ligands as described in this book. This book is an open access under a CC BY license.
Advances in Bioinformatics
The fields of Bioinformatics and Computational Biology have been growing steadily over the last few years boosted by an increasing need for computational techniques that can efficiently handle the huge amounts of data produced by the new experimental techniques in Biology. This calls for new algorithms and - proaches from fields such as Data Integration, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Also, new global approaches, such as Systems Biology, have been emerging replacing the reductionist view that dominated biological research in the last d- ades. Indeed, Biology is more and more a science of information needing tools from th...
Machine Learning Paradigms
This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives towards dramatic changes in our daily lives, the workplace and human relationships. Synergies between physical, digital, biological and energy sciences and technologies, brought together by non-traditional data collection and analysis, drive the digital economy at all levels and offer new, previously-unavailable opportunities. The need for data analytics arises in most modern scientific disciplines, including engineeri...
Reduction of CO2 Emissions from Road Transport in Cities
Michal Markiewicz presents the outcomes of his research regarding the influence of dynamic route guidance system on overall emission of carbon dioxide from road transport in rural areas. Sustainable transportation in smart cities is a big challenge of our time, but before electric vehicles replace vehicles that burn fossil fuels we have to think about traffic optimization methods that reduce the amount of greenhouse gas emissions.
E-learning
This book is consisting of 24 chapters which are focusing on the basic and applied research regarding e‐learning systems. Authors made efforts to provide theoretical as well as practical approaches to solve open problems through their elite research work. This book increases knowledge in the following topics such as e‐learning, e‐Government, Data mining in e‐learning based systems, LMS systems, security in e‐learning based systems, surveys regarding teachers to use e‐learning systems, analysis of intelligent agents using e‐learning, assessment methods for e‐learning and barriers to use of effective e‐learning systems in education. Basically this book is an open platform for creative discussion for future e‐learning based systems which are essential to understand for the students, researchers, academic personals and industry related people to enhance their capabilities to capture new ideas and provides valuable solution to an international community.
